A leading technology company is expanding its AI Innovation Lab and is looking for a Full Stack Developer to join a team building a brand-new enterprise platform from the ground up. This is a highly impactful role in a fast-paced environment, where engineers take ownership of architecture, drive technical initiatives, and leverage AI-assisted development to accelerate delivery while maintaining high engineering standards. Responsibilities - Design and develop end-to-end features across backend and frontend using Java 21, Spring Boot, Angular (Signals), and TypeScript. - Build scalable, secure, multi-tenant applications while ensuring high performance and code quality. - Work daily with AI-assisted development tools to accelerate development, while reviewing and validating AI-generated code before production. - Design and implement REST APIs, contribute to database design using PostgreSQL and Flyway, and participate in system architecture and technical design discussions. - Collaborate closely with Product, Design, and Engineering teams, while contributing to Docker, CI/CD, and Azure DevOps development workflows. - Strong hands-on experience developing backend applications with Java and Spring Boot, alongside frontend development using Angular and TypeScript. - Proven experience using AI-assisted development tools such as Claude Code or GitHub Copilot as part of the daily development workflow. - Strong understanding of PostgreSQL, JPA/Hibernate, transactions, authentication, REST APIs, and experience working with Flyway. - Hands-on experience with Git, Docker, Pull Requests, and CI/CD pipelines. - Strong debugging, code review, and critical thinking skills, with the ability to validate AI-generated code through testing rather than relying on it blindly. - Excellent communication skills and the ability to translate business requirements into high-quality technical solutions. Nice to Have: - Experience working with Azure services, including Container Apps, Entra ID, Key Vault, Blob Storage, Bicep, and Azure Pipelines. - Experience developing enterprise SaaS or multi-tenant applications. - Familiarity with LLMs, AI-assisted development, or AI integrations. - Fluent English.